Defining the mandate of proteomics in the post-genomics era: workshop report. 2002

George L Kenyon, and David M DeMarini, and Elaine Fuchs, and David J Galas, and Jack F Kirsch, and Thomas S Leyh, and Walter H Moos, and Gregory A Petsko, and Dagmar Ringe, and Gerald M Rubin, and Laura C Sheahan, and
College of Pharmacy, University of Michigan, Ann Arbor, MI 48109-1065, USA. gkenyon@umich.edu

Research in proteomics is the next step after genomics in understanding life processes at the molecular level. In the largest sense proteomics encompasses knowledge of the structure, function and expression of all proteins in the biochemical or biological contexts of all organisms. Since that is an impossible goal to achieve, at least in our lifetimes, it is appropriate to set more realistic, achievable goals for the field. Up to now, primarily for reasons of feasibility, scientists have tended to concentrate on accumulating information about the nature of proteins and their absolute and relative levels of expression in cells (the primary tools for this have been 2D gel electrophoresis and mass spectrometry). Although these data have been useful and will continue to be so, the information inherent in the broader definition of proteomics must also be obtained if the true promise of the growing field is to be realized. Acquiring this knowledge is the challenge for researchers in proteomics and the means to support these endeavors need to be provided. An attempt has been made to present the major issues confronting the field of proteomics and two clear messages come through in this report. The first is that the mandate of proteomics is and should be much broader than is frequently recognized. The second is that proteomics is much more complicated than sequencing genomes. This will require new technologies but it is highly likely that many of these will be developed. Looking back 10 to 20 years from now, the question is: Will we have done the job wisely or wastefully? This report summarizes the presentations made at a symposium at the National Academy of Sciences on February 25, 2002.

UI MeSH Term Description Entries
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D013058 Mass Spectrometry An analytical method used in determining the identity of a chemical based on its mass using mass analyzers/mass spectrometers. Mass Spectroscopy,Spectrometry, Mass,Spectroscopy, Mass,Spectrum Analysis, Mass,Analysis, Mass Spectrum,Mass Spectrum Analysis,Analyses, Mass Spectrum,Mass Spectrum Analyses,Spectrum Analyses, Mass
D015180 Electrophoresis, Gel, Two-Dimensional Electrophoresis in which a second perpendicular electrophoretic transport is performed on the separate components resulting from the first electrophoresis. This technique is usually performed on polyacrylamide gels. Gel Electrophoresis, Two-Dimensional,Polyacrylamide Gel Electrophoresis, Two-Dimensional,2-D Gel Electrophoresis,2-D Polyacrylamide Gel Electrophoresis,2D Gel Electrophoresis,2D PAGE,2D Polyacrylamide Gel Electrophoresis,Electrophoresis, Gel, 2-D,Electrophoresis, Gel, 2D,Electrophoresis, Gel, Two Dimensional,Polyacrylamide Gel Electrophoresis, 2-D,Polyacrylamide Gel Electrophoresis, 2D,Two Dimensional Gel Electrophoresis,2 D Gel Electrophoresis,2 D Polyacrylamide Gel Electrophoresis,Electrophoresis, 2-D Gel,Electrophoresis, 2D Gel,Electrophoresis, Two-Dimensional Gel,Gel Electrophoresis, 2-D,Gel Electrophoresis, 2D,Gel Electrophoresis, Two Dimensional,PAGE, 2D,Polyacrylamide Gel Electrophoresis, 2 D,Polyacrylamide Gel Electrophoresis, Two Dimensional,Two-Dimensional Gel Electrophoresis
D015894 Genome, Human The complete genetic complement contained in the DNA of a set of CHROMOSOMES in a HUMAN. The length of the human genome is about 3 billion base pairs. Human Genome,Genomes, Human,Human Genomes
D019295 Computational Biology A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets. Bioinformatics,Molecular Biology, Computational,Bio-Informatics,Biology, Computational,Computational Molecular Biology,Bio Informatics,Bio-Informatic,Bioinformatic,Biologies, Computational Molecular,Biology, Computational Molecular,Computational Molecular Biologies,Molecular Biologies, Computational
D020543 Proteome The protein complement of an organism coded for by its genome. Proteomes
D030562 Databases, Protein Databases containing information about PROTEINS such as AMINO ACID SEQUENCE; PROTEIN CONFORMATION; and other properties. Amino Acid Sequence Databases,Databases, Amino Acid Sequence,Protein Databases,Protein Sequence Databases,SWISS-PROT,Protein Structure Databases,SwissProt,Database, Protein,Database, Protein Sequence,Database, Protein Structure,Databases, Protein Sequence,Databases, Protein Structure,Protein Database,Protein Sequence Database,Protein Structure Database,SWISS PROT,Sequence Database, Protein,Sequence Databases, Protein,Structure Database, Protein,Structure Databases, Protein
D040901 Proteomics The systematic study of the complete complement of proteins (PROTEOME) of organisms. Peptidomics

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